Tech Giants Racing to Build AI Chips

Soham Halder

From cloud giants to smartphone makers, Big Tech is racing to build powerful AI chips that will define the future of computing.

NVIDIA: Its GPUs dominate AI training worldwide, making NVIDIA the undisputed king of modern AI infrastructure.

Google (TPU): Google’s Tensor Processing Units are custom-built to accelerate AI across Search, Gemini, and cloud services.

Apple (Apple Silicon): Apple’s M-series chips bring AI processing directly to the device for faster, more private, and power-efficient experiences.

Microsoft (Maia AI): Microsoft’s in-house AI chips aim to power Azure AI workloads while reducing dependence on external suppliers.

Amazon (Trainium & Inferentia): AWS chips are designed to deliver cost-effective AI training and inference at massive scale in the cloud.

Meta (MTIA): Meta is building custom AI silicon to optimize recommendation systems and future metaverse experiences.

Intel (Gaudi AI): Intel’s Gaudi accelerators focus on enterprise AI with open software and competitive pricing.

AMD (Instinct Series): AMD’s AI accelerators challenge NVIDIA by offering high-performance alternatives for data centers.

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